Dxp Enterprises (DXPE) Shares Outstanding (Diluted) (2010 - 2026)
Dxp Enterprises (DXPE) posted Shares Outstanding (Diluted) of 16.35 million for Q2 2026, down 1.1% from 16.53 million a year earlier and down 0.2% from the prior quarter.
Dxp Enterprises (DXPE) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Dxp Enterprises' Shares Outstanding (Diluted) came in at 16.51 million, down 1.2% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for four consecutive years, with a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, Dxp Enterprises' Shares Outstanding (Diluted) was 16.7 million in FY2024 (-5.7%), 17.71 million in FY2023 (-9.0%), 19.47 million in FY2022 (-1.6%) and 19.79 million in FY2021 (+11.5%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q4 2016.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last 15 quarters, with an average decline of 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q4 2021, with growth of 11.5%; the weakest was Q3 2023, with a decline of 11.7%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 16.37 million (Q1 2026), 16.51 million (Q4 2025) and 16.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 62.63 Mn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 47.20 Mn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 1.15 Bn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 194.80 Mn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 411.31 Mn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 51.38 Mn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 49.40 Mn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 37.86 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 38.19 Mn |
| 10 | Dxp Enterprises | 3.01 Bn | 2.14 Bn | 183.07 Mn | 16.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.35 Mn |
| Mar 31, 2026 | 16.37 Mn |
| Dec 31, 2025 | 16.51 Mn |
| Sep 30, 2025 | 16.53 Mn |
| Jun 30, 2025 | 16.53 Mn |
| Mar 31, 2025 | 16.54 Mn |
| Dec 31, 2024 | 16.70 Mn |
| Sep 30, 2024 | 16.59 Mn |
| Jun 30, 2024 | 16.71 Mn |
| Mar 31, 2024 | 16.97 Mn |
| Dec 31, 2023 | 17.71 Mn |
| Sep 30, 2023 | 17.36 Mn |
| Jun 30, 2023 | 18.05 Mn |
| Mar 31, 2023 | 18.44 Mn |
| Dec 31, 2022 | 19.47 Mn |
| Sep 30, 2022 | 19.66 Mn |
| Jun 30, 2022 | 19.61 Mn |
| Mar 31, 2022 | 19.37 Mn |
| Dec 31, 2021 | 19.79 Mn |
| Sep 30, 2021 | 19.55 Mn |
Dxp Enterprises Shares Outstanding (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DXPE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();